Ring artifact and Poisson noise attenuation via volumetric multiscale nonlocal collaborative filtering of spatially correlated noise

Ring artifact and Poisson noise attenuation via volumetric multiscale nonlocal collaborative filtering of spatially correlated noise

Blog Article

X-ray micro-tomography systems often suffer from high levels of noise.In particular, severe ring artifacts are common in reconstructed images, caused by Originals Cardigan defects in the detector, calibration errors, and fluctuations producing streak noise in the raw sinogram data.Furthermore, the projections commonly contain high levels of Poissonian noise arising from the photon-counting detector.This work presents a 3-D multiscale framework for streak attenuation through a purposely designed collaborative filtering of correlated noise in volumetric data.

A distinct multiscale denoising step for attenuation of the Poissonian noise is further proposed.By utilizing the volumetric structure of the projection data, the proposed fully automatic procedure offers improved feature preservation compared with 2-D denoising and avoids artifacts which arise from Baseball individual filtering of sinograms.